CS-702 (A) Computational Intelligence Notes
5 notes for Computational Intelligence, unit by unit.
Notes for CS-702 (A)
- Unit 1 · Short notes Introduction to Computational Intelligence Types of Computational Intelligence · Components of Computational Intelligence · Concept of Learning/Training model · Parametric Models · Non‑parametric Models · Multilayer Networks – Feed‑forward network
- Unit 2 · Short notes Fuzzy Systems Fuzzy set theory – fuzzy sets and operations · Membership functions · Fuzzy relations and their composition · Fuzzy measures · Fuzzy logic – fuzzy rules and inferencing · Fuzzy control – selection of membership functions
- Unit 3 · Short notes Genetic Algorithms Basic genetics and concepts · Working principle of genetic algorithms · Creation of offsprings · Encoding schemes · Fitness function design · Selection functions
- Unit 4 · Short notes Rough Set Theory and Related Models Introduction to rough set theory · Fundamental concepts of rough sets · Set approximation · Rough membership · Attributes and optimization in rough sets · Hidden Markov Models
- Unit 5 · Short notes Swarm Intelligence Introduction to swarm intelligence · Ant Colony Optimization · Particle Swarm Optimization · Bee Colony Optimization · Other swarm‑intelligence techniques · Applications of computational intelligence
More for CS-702 (A)
Other 7th semester CSE subjects
- CS-701 Software Architectures
- CS-702 (B) Deep & Reinforcement Learning
- CS-702 (C) Wireless & Mobile Computing
- CS-702 (D) Big Data
- CS-703 (A) Cryptography & Information Security
- CS-703 (B) Data Mining and Warehousing
- CS-703 (C) Agile Software Development
- CS-703 (D) Disaster Management